Data Engineer, Materials
Periodic LabsAI for company
Menlo Park, United States$250,000-350,000Senior
Andreessen Horowitz
Nvidia
Accel
DST Global
Felicis
Jeff Bezos
Data & AI
About the role
TL;DR
Data Engineer to bridge materials databases with LLM agents for AI-driven research.
- •We're hiring a materials scientist to bridge our computational and experimental databases with the LLM agents that need to navigate them.
- •This is a hybrid research and infrastructure role: you'll spend roughly half your time restructuring our materials databases so they're legible to agentic systems, and the other half working directly with our lab scientists and computational team on active research problems.
- •Key Responsibilities Restructure and re-architect materials databases (lab experiments, characterization data, computations) so they're usable by agentic systems, drawing on domain expertise about how to represent the data and what metadata matters Work directly with lab scientists and the computational team on active research problems, staying close to the actual bottlenecks LLM agents are meant to solve Design data structures around how LLM agents actually reason and fail, not just around human readability Build research software for lab environments, translating scientific requirements into working tools Move fluidly between research contribution and infrastructure ownership, splitting time roughly evenly between the two Requirements 4+ years of experience PhD in Materials Science, Chemistry, or a related field, or equivalent industry experience Deep domain knowledge in materials science Experience with data structuring and database architecture Familiarity with LLM agents and their data needs
Required skills
PythonSQLLLMsLangChain
Domain expertise
deeptechai
Benefits & perks
equity, visa sponsorship
Tech stack
PythonSQLBashLLMsLangChain